Top Software Engineer Jobs in India

Designs and executes testing strategies for HPE storage offerings and integrated cloud solutions. The role validates integrations, analyzes results, debugs failures, drives defects to closure, documents test plans and outcomes, identifies coverage gaps, and collaborates with engineering, product, QA, and support teams. It also leads tester project teams, coordinates internal and outsourced partners, represents testing in complex development projects, and mentors junior engineers.

Develop and maintain manual and automated software tests, including Java-based API test suites with REST Assured and scripts using Playwright, Selenium, TypeScript, or Python. Integrate automation with existing frameworks and CI/CD tools, document execution results in QTEST, manage defects through ALM and JIRA, and conduct code reviews. Collaborate with developers and business stakeholders while applying Agile, Waterfall, SDLC, database, and test automation practices.

Build, design, test, deploy, maintain, and improve software for SaaS and cloud environments. Apply distributed systems and cloud expertise while managing project priorities, deadlines, and deliverables. Collaborate independently and with teams on complex, time-sensitive projects, using software engineering principles, design patterns, and SDLC methodologies. The role involves developing scalable software with programming languages such as Go, Java, C/C++, Scala, or Python, with cloud, containerization, and Kubernetes experience preferred.

Build and productionize agentic AI and LLM-powered applications, including RAG systems, conversational interfaces, intelligent search, and advisory assistants. Design secure distributed services with tool orchestration, authentication, observability, evaluation, and responsible AI controls. Apply Python, APIs, cloud platforms, data engineering, and CI/CD practices. Collaborate with stakeholders, mentor engineers, and develop reusable AI engineering standards and components.

Own complex software features, services, integrations, and technical workstreams from design through production. Solve ambiguous engineering problems, make project-level technical decisions, improve reliability and scalability, and apply secure engineering practices. Use AI-assisted development tools responsibly, diagnose production issues, and guide other engineers through reviews, collaboration, and knowledge sharing. The role focuses on enterprise technology, cloud environments, automated testing, observability, and maintainable production systems.

Develops, troubleshoots, and maintains secure, scalable software solutions within an agile JPMorgan Chase engineering team. Responsibilities include producing production code, architecture artifacts, automated testing, CI/CD improvements, AI-assisted development, system design, operational stability, and analysis of large datasets to improve applications and coding practices. The role requires AWS and cloud experience, UNIX, Terraform, incident and change management, modern programming, SDLC expertise, and familiarity with application resiliency and security.

Build and manage developer productivity platforms, tooling, MCP servers, and AI agents that help engineers deploy and operate Cloudflare services. Responsibilities include improving GitOps practices, responding to platform incidents, strengthening security and resource contention controls, advising application teams on architecture, and driving initiatives that improve engineering productivity and developer experience.

Develops and supports secure, scalable Salesforce solutions for Asset and Wealth Management. Responsibilities include designing and coding Apex, LWC, Aura Components, integrations, triggers, asynchronous processes, and platform events; administering Salesforce configuration; implementing Sales and Service Cloud capabilities including Agentforce; producing architecture artifacts; analyzing data; and improving system quality, resiliency, security, and automation through Agile and CI/CD practices.

Lead software engineering efforts within an agile financial services team by designing, developing, testing, debugging, and supporting secure, scalable applications. The role requires advanced Java, Python, Spark, AWS, and SQL expertise, cloud-native experience, SDLC proficiency, and operational resiliency knowledge. It also involves promoting responsible AI-assisted development, automating recurring remediation, reviewing code, and evaluating vendor and architectural solutions.

Design, build, test, and operate cloud-native back-end microservices (Java) for banking products. Ensure secure, scalable, reliable systems, zero-downtime releases, performance optimization, incident management, and responsible use of enterprise AI-assisted development tools.

Designs, develops, tests, and maintains Java applications, services, automation solutions, and reusable testing frameworks. Collaborates with product and engineering teams, contributes to architecture and code reviews, improves test coverage and quality metrics, supports CI/CD quality gates, and applies secure coding, monitoring, observability, and reliability practices. Uses tools including Playwright, RestAssured, TestNG, Cucumber, Git, and AI-assisted development tools.

Develops and enhances payment authorization software using C and C++ on Unix. Translates system requirements into modular code, participates in Agile scrum activities, performs code and design reviews, creates and analyzes functional tests, and improves verification processes. Collaborates with developers and domain experts while following SDLC and STLC practices and maintaining strong software quality and security standards.

Lead architecture and hands-on implementation of agentic and generative AI systems for a secure FinTech platform. Architect scalable agent registries, policy engines, observability, CI/CD and progressive delivery. Fine-tune and prompt-engineer foundation models, mentor Staff Engineers/Tech Leads, run design clinics, align across Security/Compliance/Data, and drive production readiness and incident response.

Leads organization-wide software systems architecture and development across multiple platforms. Evaluates technologies, integration strategies, development partners, and standards; improves product quality and reduces failure risk. Provides technical leadership, executive-level influence, mentoring, and consulting across business units. Drives innovation through patents, whitepapers, and deployed software solutions while guiding testing methodologies, debugging, and scalable system design.

Develops and troubleshoots secure, scalable software within JPMorganChase’s Payments Technology team. Responsibilities include coding in Java, designing components across interconnected systems, analyzing data, applying SDLC and Agile practices, and using authorized AI-assisted development tools responsibly. The role requires experience with Agentic AI, AWS, Spring Boot, Kafka, enterprise application development, and software security. Preferred experience includes full-stack Java, Java 17+, microservices, AWS container deployments, Terraform, and relational databases.

Develops secure, scalable backend software for JPMorgan Chase’s Asset and Wealth Management technology teams. Responsibilities include designing and coding applications in Python and Java, building microservices, creating architecture artifacts, troubleshooting systems, analyzing data, and maintaining operational stability. The role uses cloud platforms, distributed systems, REST APIs, agile development, CI/CD, and enterprise-authorized AI coding tools while ensuring secure, resilient, high-quality engineering practices.

Develop and maintain SONiC network operating system platform features and system software. Troubleshoot complex Linux and hardware-level issues, collaborate with hardware and QA teams, participate in code reviews and architecture discussions, and lead technical documentation. The role requires expertise in C/C++, Linux systems, device drivers, kernel development, networking, embedded platforms, hardware interfaces, and high-speed packet forwarding.

Designs and builds enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, ADF, PySpark, and Spark SQL. Leads data modernization and migration initiatives, develops scalable pipelines, implements governance and data quality practices, optimizes performance and cloud costs, and mentors engineers. The role also requires advanced SQL, CI/CD, Azure DevOps, security controls, and experience with data warehouse and medallion architectures.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, and mobile technologies. Troubleshoot production issues, implement cloud and AI/data best practices, and collaborate with global teams on digital transformation. The role follows Agile, CI/CD, and DevOps practices.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, Swift, and React Native. Troubleshoot production issues, implement cloud and AI/data best practices, collaborate with global teams, and follow Agile, CI/CD, and DevOps practices.

Develop and support secure, scalable full-stack enterprise applications. Build Java and Spring Boot backend services, REST APIs, microservices, and modern frontend components using React or Angular. Collaborate with architects, product owners, QA, DevOps, and global delivery teams in Agile environments. Contribute to testing, code reviews, CI/CD, deployment automation, observability, performance, secure coding, release readiness, documentation, and production support.

Develop and maintain cloud-native full-stack applications, APIs, and databases using modern front-end and back-end technologies. Troubleshoot production issues, apply cloud and DevOps best practices, and collaborate with global Agile teams on digital and AI transformation initiatives.

Designs and builds enterprise Azure data platforms using Synapse Analytics, Databricks, ADLS Gen2, ADF, PySpark, and Spark SQL. Leads modernization and migration initiatives, develops scalable pipelines, optimizes performance and cloud costs, and implements data quality, governance, security, and warehouse practices. The role also mentors engineers, establishes coding standards, and promotes AI-assisted development tools such as GitHub Copilot.

Design and build enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, PySpark, Spark SQL, and Azure Data Factory. Lead modernization and migration initiatives, develop scalable pipelines, optimize performance and cloud costs, and implement data governance, security, quality, and warehouse best practices. The role also involves mentoring engineers, establishing coding standards, and promoting AI-assisted development tools such as GitHub Copilot.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. The role also involves CI/CD, DevOps practices, and supporting digital transformation initiatives.